2 citations · 5 across the 7 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
stat.ML2022★ 1 cited
Generalisation under gradient descent via deterministic PAC-Bayes
Eugenio Clerico, Tyler Farghly, George Deligiannidis +2
We establish disintegrated PAC-Bayesian generalisation bounds for models trained with gradient descent methods or continuous gradient flows. Contrary to standard practice in the PA…
stat.ML2022
Chained Generalisation Bounds
Eugenio Clerico, Amitis Shidani, George Deligiannidis +1
This work discusses how to derive upper bounds for the expected generalisation error of supervised learning algorithms by means of the chaining technique. By developing a general t…